Machine learning and deep learning based predictive quality in manufacturing: a systematic review Hasan TercanTobias Meisen ReviewPaper Open access 28 May 2022 Pages: 1879 - 1905
Model predictive force control in milling based on an ensemble Kalman filter Max SchwenzerSebastian StemmlerDirk Abel OriginalPaper Open access 02 April 2022 Pages: 1907 - 1919
A virtual sensor for backlash in robotic manipulators Eliana GiovannittiSayyidshahab NabaviAlberto Tonda OriginalPaper Open access 12 April 2022 Pages: 1921 - 1937
Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems Shahed MahmudRipon K. ChakraborttyMichael J. Ryan OriginalPaper Open access 16 April 2022 Pages: 1939 - 1966
Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy A. CostaG. BuffaL. Fratini OriginalPaper Open access 16 April 2022 Pages: 1967 - 1989
The use of Fuzzy rule-based systems in the design process of the metallic products on example of microstructure evolution prediction Andrzej MaciołPiotr Macioł OriginalPaper Open access 12 May 2022 Pages: 1991 - 2012
Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks Marco BryschMohammad BaharMichael Sinapius OriginalPaper Open access 17 May 2022 Pages: 2013 - 2025
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning Christopher HagedornJohannes HuegleRainer Schlosser OriginalPaper Open access 23 May 2022 Pages: 2027 - 2043
Process optimization via confidence region: a case study from micro-injection molding Gianluca TrottaStefania CacaceQuirico Semeraro OriginalPaper Open access 31 May 2022 Pages: 2045 - 2057
A hybrid genetic algorithm for parallel machine scheduling with setup times J. Adan OriginalPaper Open access 01 June 2022 Pages: 2059 - 2073
An unsupervised defect detection model for a dry carbon fiber textile Martin SzarskiSunita Chauhan OriginalPaper Open access 06 June 2022 Pages: 2075 - 2092
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning Aniruddha GaikwadTammy ChangPrahalada Rao OriginalPaper Open access 26 June 2022 Pages: 2093 - 2117
A novel tracking system for the iron foundry field based on deep convolutional neural networks Michael BeckMichael LayhBernd R. Pinzer OriginalPaper Open access 02 July 2022 Pages: 2119 - 2128
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing Patrick LinkMiltiadis PoursanidisSteffen Ihlenfeldt OriginalPaper Open access 07 July 2022 Pages: 2129 - 2142
Relating wear stages in sheet metal forming based on short- and long-term force signal variations Philipp NiemietzMia J. K. KornelyThomas Bergs OriginalPaper Open access 09 July 2022 Pages: 2143 - 2155
Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment Marius WenningAnton Akira BackhausPeter Burggräf OriginalPaper Open access 11 July 2022 Pages: 2157 - 2165
A universal method to compare parts from STEP files Nishant OjalBrian GieraAlexander Blum OriginalPaper Open access 16 July 2022 Pages: 2167 - 2178
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning Jian QinYipeng WangStewart Williams OriginalPaper Open access 24 July 2022 Pages: 2179 - 2191